How AI and Generative AI are revolutionising aerospace navigation, maintenance and sustainability: Insights from TCS’ Anupam Singhal

Explore how AI, Generative AI, and Quantum Computing are revolutionizing aerospace navigation, maintenance, and sustainability, with insights from Anupam Singhal, President of Manufacturing at TCS.

AI in Aerospace​; Generative AI in aviation​; Quantum Computing in aerospace​; Aerospace navigation systems​; AI-powered aircraft maintenance​; Urban Air Mobility (UAM)​; eVTOL aircraft​; Sustainable aviation technologies​; AI-driven predictive maintenance​; Aircraft maintenance solutions​; TCS aerospace innovations​; Future of aerospace technology​; Aerospace sustainability practices​; AI and Quantum Computing in aviation​; AI-powered supply chain risk management​; Sustainable aviation fuels (SAF)​; Aerospace digital twins​; Aerospace cybersecurity solutions​; TCS GARUDA platform​; Hydrogen fuel systems in aviation
As the aerospace and defense sectors evolve, TCS is committed to playing a key role in their transformation. (Bloomberg)

Artificial Intelligence (AI) and Generative AI are transforming the aerospace industry, especially in areas like navigation systems, maintenance, and sustainability. Anupam Singhal, President of Manufacturing at Tata Consultancy Services (TCS), shared valuable insights into how these technologies are shaping the future of aerospace.

The Role of AI and Generative AI in Enhancing Navigation Systems

AI and Generative AI are improving navigation systems by enabling real-time flight path optimization, autonomous navigation, and functionality in signal-restricted environments. “AI-driven systems adjust flight routes using real-time weather and traffic data, ensuring that flights are more efficient and safer,” says Singhal. These systems are helping reduce delays and optimize routes, enhancing the overall efficiency of air travel.

Generative AI also plays a crucial role in simulating complex scenarios, improving decision-making in critical situations. “Generative AI allows us to simulate emergencies and optimize responses before they happen, ensuring better outcomes during high-pressure situations,” Singhal explains.

Additionally, Quantum Computing is revolutionizing flight path optimization and aircraft design by solving complex problems at unprecedented speeds. “Quantum computing allows for solving optimization problems at speeds previously unimaginable, making air travel more efficient and safe,” he adds.

At TCS, the company is developing platform-agnostic AI solutions, digital twins, and urban airspace simulators in collaboration with aerospace partners. These innovations help improve scalability, safety compliance, and workforce skill enhancement, while also applying Generative AI to enhance manufacturing processes like supply chain risk prediction.

Key Technological Advancements Shaping the Aerospace Industry by 2025

As we look toward 2025, Singhal highlights several key advancements expected to shape the aerospace industry. “AI-driven predictive maintenance, sustainable propulsion systems like hydrogen and electric engines, and Urban Air Mobility (UAM) will be pivotal in reducing urban congestion and enhancing flight efficiency,” he says.

The rise of electric Vertical Take-Off and Landing (eVTOL) aircraft is a key component of UAM, requiring new infrastructure and maintenance strategies. “eVTOLs will require not just infrastructure but specialized maintenance practices to ensure their smooth operation,” Singhal points out.

TCS’s Supply Chain Risk Navigator is helping strengthen supply chain resilience, detecting disruptions caused by natural disasters and geopolitical events, and providing real-time insights to mitigate risks. In terms of aerospace design, TCS’s Composite Optimizer—powered by Quantum Computing—optimizes material stacking for lighter, stronger, and more durable components. Additionally, digital twins improve operations and maintenance, while cybersecurity frameworks ensure the security of aerospace ecosystems.

Managing Urban Air Traffic and Aircraft Maintenance for Sustainability

Urban Air Traffic Management (UTM) is one of the biggest challenges of the future, particularly with the rise of UAM. Singhal explains that AI-powered systems, digital twins, and smart city integrations will play a key role in managing low-altitude traffic. “AI and predictive analytics will ensure smooth traffic flow, minimizing congestion and enhancing safety,” he says.

Aircraft maintenance will also evolve to meet sustainability goals. “AI-driven predictive maintenance, battery health management, and automated visual inspections will significantly reduce downtime and improve operational efficiency,” Singhal states. TCS is exploring the integration of 3D-printed components, recyclable materials, and AI-powered maintenance tools to drive sustainability. Furthermore, AI-powered Augmented Reality (AR) tools will assist technicians in performing more efficient, precise repairs, addressing the growing demand for skilled workers in the aerospace sector.

Sustainable Practices in Aircraft Maintenance

Sustainability is a major focus for the aerospace industry, and AI is playing a critical role in driving eco-friendly practices. Singhal notes that AI-driven predictive maintenance, energy-efficient operations, and circular economy principles are transforming aircraft maintenance. “We are collaborating with Rolls-Royce to develop hydrogen fuel systems for zero-carbon aviation,” he says. Additionally, Sustainable Aviation Fuels (SAF), 3D-printed components, and advanced recyclable materials are helping reduce environmental impact.

TCS’s GARUDA platform is pushing the boundaries of green aviation by leveraging AI and Generative AI to optimize the recycling and recertification of decommissioned aircraft components. “GARUDA helps guide the entire recycling journey, ensuring components meet airworthiness standards, thus contributing to a more sustainable future for aviation,” Singhal explains.

AI-Driven Diagnostics and Operational Efficiency

AI-driven diagnostics are reshaping the efficiency of aircraft maintenance by transforming large streams of real-time sensor data into actionable insights. Singhal emphasizes that these AI systems can predict and prevent failures, keeping aircraft in service longer. “AI-driven systems help detect faults before they become major issues, reducing unplanned downtime,” he says.

By using digital twins and AI-powered simulations, maintenance procedures can be tested virtually, minimizing the need for manual intervention. TCS’s AR- and GenAI-powered MRO (Maintenance, Repair, and Overhaul) solutions provide technicians with real-time guidance, streamlining diagnostics and repairs. “This approach is not only reducing service cycle times but also ensuring more precise maintenance,” Singhal adds.

The Future of Aircraft Maintenance with Advanced Technologies

The future of aircraft maintenance will see significant changes, driven by AI, robotics, and advanced materials. “AI-powered systems will enable just-in-time interventions, while robotics and drones will automate inspections and repairs,” Singhal predicts. The adoption of additive manufacturing (3D printing) and composite materials will improve repair efficiency while contributing to sustainability.

However, challenges remain, particularly in cybersecurity, workforce upskilling, and regulatory complexities. Singhal believes that addressing these challenges will require close collaboration between the industry, regulators, and technology providers. “The industry must focus on ensuring cybersecurity compliance and developing digital skills among workers to successfully implement these technologies,” he says.

Navigating Regulatory Challenges

With the rapid adoption of new technologies, the aerospace industry will face regulatory challenges, particularly around the certification of AI-powered autonomous systems and ensuring cybersecurity resilience. “Regulators will need to work with the industry to streamline the certification process for new technologies like UAM and hydrogen fuel systems,” Singhal explains.

TCS is actively collaborating with regulators to create sandbox environments for testing and validating new technologies. “By co-creating testing frameworks and facilitating knowledge-sharing, we can help accelerate the regulatory process and ensure the smooth adoption of new technologies,” Singhal adds.

TCS’s Vision for Aerospace and Defense by 2025

As the aerospace and defense sectors evolve, TCS is committed to playing a key role in their transformation. Singhal highlights that TCS will focus on driving AI-powered operational efficiency, sustainable technologies, and resilient defense systems. “We aim to co-innovate with our partners to develop advanced AI solutions, leveraging technologies like Generative AI, AR/VR, and Quantum Computing to shape the future of aerospace,” he says.

TCS’s strategic focus will include aligning with regulatory standards, upskilling the workforce, and providing scalable AI solutions to meet the needs of the evolving aerospace and defense landscape. “Our vision is to create Future-Ready Skies, where sustainability and innovation go hand-in-hand to redefine the future of aerospace,” Singhal concludes.

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This article was first uploaded on January twenty-one, twenty twenty-five, at eleven minutes past three in the afternoon.
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